3 papers
cs.DC2026
Mitigating Temporal Blindness in Kubernetes Autoscaling: An Attention-Double-LSTM Framework
Faraz Shaikh, Gianluca Reali, Mauro Femminella
In the emerging landscape of edge computing, the stochastic and bursty nature of serverless workloads presents a critical challenge for autonomous resource orchestration. Tradition…
cs.DC2026
Topological Analysis for Identifying Anomalies in Serverless Platforms
Gianluca Reali, Mauro Femminella
The information flows in serverless platforms are complex and non-conservative. This is a direct result of how independently deployed functions interact under the platform coarse-g…
cs.DC2026
A Hodge-Based Framework for Service Operational Analysis in Serverless Platforms
Gianluca Reali, Mauro Femminella
In this paper we propose a method for analyzing services deployed in serverless platforms. These services typically consists of orchestrated functions that can exhibit complex and…